A Hierarchical Decision-Space Modeling and Local–Global Surrogate Coevolutionary Algorithm for Expensive Multiobjective Optimization
Expensive multiobjective optimization requires a diverse Pareto approximation under a severely limited evaluation budget. Existing surrogate-assisted algorithms often treat decision variables homogeneously and rely on either global or local models, causing inaccurate regional prediction or premature search concentratio...